Working memory is a limited-capacity form of human memory that actively holds information in mind. Which memories ought to be maintained? We approach this question by showing an equivalence between active maintenance in working memory and a Markov decision process in which, at each moment, a cognitive control mechanism selects a memory as the target of maintenance. The challenge of remembering ...

In this paper, we propose feedback designs for manipulating a quantum state to a target state by performing sequential measurements. In light of Belavkin’s quantum feedback control theory, for a given set of (projective or nonprojective) measurements and a given time horizon, we show that finding the measurement selection policy that maximizes the probability of successful state manipulation is...

BACKGROUND In this paper, we identify and respond to the fidelity assessment challenges posed by novel contextualised interventions (i.e. interventions that are informed by composite social and psychological theories and which incorporate standardised and flexible components in order to maximise effectiveness in complex settings). We (a) describe the difficulties of, and propose a method for, i...

We cannot begin to understand the large-scale structure of the Internet without accurate representations of the Internet topology. Mercator is a program that uses hop-limited probes—the same primitive used in traceroute—to infer an Internet map. It uses informed random address probing to carefully explore the IP address space when determining router adjacencies, uses source-route capable router...

Abstract Reinforcement learning (RL) is a promising tool for solving robust optimal well control problems where the model parameters are highly uncertain and system partially observable in practice. However, RL of policies often relies on performing large number simulations. This could easily become computationally intractable cases with intensive To address this bottleneck, an adaptive multigr...

Title: A study on the implementation fidelity of the performance-based financing policy in Burkina Faso after 12 months Authors: Oriane Bodson ([email protected]) Ahmed Barro ([email protected]) Anne-Marie Turcotte-Tremblay ([email protected]) Nestor Zanté ([email protected]) André Somé ([email protected]) Valéry Ridde ([email protected]) Vers...

Quality improvement (QI) efforts are an indispensable aspect of health care delivery, particularly in an environment of increasing financial and regulatory pressures. The ability to test predictions of proposed changes to flow, policy, staffing, and other process-level changes using discrete event simulation (DES) has shown significant promise and is well reported in the literature. This articl...